Contact Us  |  Search  
 
The National Academies of Sciences, Engineering and Medicine
Partnerships for Enhanced Engagement in Research
Development, Security, and Cooperation
Policy and Global Affairs
Home About Us For Applicants For Grant Recipients Funded Projects Email Updates
PARTNERSHIPS FOR ENHANCED ENGAGEMENT IN RESEARCH (PEER)
Cycle 5 (2015 Deadline)


Satellite enhanced snowmelt flood and drought predictions for the Kabul River basin with surface and groundwater modeling


PI: Mohammad Najaf (kabrivbasin@gmail.com), Kabul Polytechnic University, with co-PIs Jay Sagin, Nazarbayev University (Kazakhstan), and Muhammad Abid, COMSATS, (Pakistan)
U.S. Partner: Jennifer Jacobs, University of New Hampshire

Project Overview:

The overall objectives of this research are to develop (1) the KRB flood prediction models using NASA satellite observations that capture the magnitude, timing, and spatial distribution of watershed scale snowmelt parameters; and (2) combined surface and ground water modeling and prediction analyses. The project aims to develop the integrated surface and groundwater modeling for the transboundary (Pakistan upstream and Afghanistan downstream) Kabul River Basin (KRB) with satellite enhanced snowmelt flood and drought predictions. The researchers will apply advanced NASA satellite data to track snow, snow melting, floods, surface water coverage, and droughts over the KRB. They will adapt cost-effective approaches using remote sensing data, with expertise provided by the U.S. partner Dr. Jacobs, based on her experience working on the NASA-supported project "Satellite Enhanced Snowmelt Flood Predictions in the Red River of the North Basin, USA." A lack of accurate snow depth and snow water equivalent data, and a lack of understanding of snowmelt processes and soil infiltration during soil freeze and thaw events in the KRB inhibit the ability to improve flood predictions. This project will improve the models by using satellite observations that capture the magnitude, timing, and spatial distribution of watershed-scale snowmelt parameters, as well as antecedent soil conditions. Most of the existing water-related research models were developed with separate components for the surface water and the groundwater, but this project will combine them into a more comprehensive model, which should facilitate better prediction analyses.

Beyond the expected capacity building impacts for project participants and improved modeling technologies, the project should promote better regional transboundary water cooperation outside of high-level intergovernmental channels by providing a platform for interactions among academia and community-level water management structures from Afghanistan, Kazakhstan, Pakistan, and the United States. University-led forums will be organized to promote improved sustainable management of shared water resources within the context of climate change in Central and South Asia. The project will also involve under-represented groups, including support for the Society of Women Engineers in Central Asia, Afghanistan, and Pakistan


Back to PEER Cycle 5 Grant Recipients

PGA_147200PGA_147199PGA_147214PGA_147201PGA_147202